Perfect Tree-Like Markovian Distributions
With Dan Geiger and Christopher Meek. Research on conditional independence and tree-structured probabilistic distributions.
Selected work
Research, writing, interviews and selected work by Dr. Anna Becker.
With Dan Geiger and Christopher Meek. Research on conditional independence and tree-structured probabilistic distributions.
With Dan Geiger. An algorithmic approach to finding close-to-optimal clique trees with applications to inference in Bayesian networks.
With Dan Geiger and Christopher Meek. Conference publication on conditional independence in tree-structured probabilistic models.
With Reuven Bar-Yehuda and Dan Geiger. Randomized algorithms for finding loop cutsets used in conditioning-based inference.
With Dan Geiger and Alejandro Schäffer. Work connecting algorithmic inference methods with genetic linkage analysis.
With Dan Geiger. Early work on efficient junction-tree construction for probabilistic inference.
Co-authored reference work on Bayesian networks, probabilistic modelling, inference, learning and applications.